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@@ -12,4 +12,6 @@ A tiny 55 million parameter model trained on 1.3 billion tokens using a custom d
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  The tokenizer is a basic bpe tokenizer that was trained on a smaller subset of 80_000 samples of this same data mixture with a vocab size of 8000.
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- This model has not undergone any post-training.
 
 
 
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  The tokenizer is a basic bpe tokenizer that was trained on a smaller subset of 80_000 samples of this same data mixture with a vocab size of 8000.
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+ This model has not undergone any post-training.
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+ This base model is best suited for fine-tuning on specific tasks. On its own, it very limited, but it is a pretty flexible foundation for applications such as toxic comment detection or sentiment analysis.